headroom
★ 77.5k
vs
Compartment
★ 584
headroom vs Compartment
headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.; Compartment: Compartment provides durable, encrypted, and offline-first memory for AI agents, allowing them to retain decisions and preferences permanently on your local machine. It offers fast hybrid search, robust security features including AEAD encryption, and easy integration with popular AI agents like Claude, Hermes, and OpenClaw without needing cloud accounts or API keys.
01
TL;DR
headroomMemory & Context · ★ 77.5k
When to choose:
- Long tool output, logs, JSON responses or RAG chunks are driving up cost or hurting answers.
- You want compression without code changes: run it as a local proxy, an MCP server, or by wrapping Claude Code, Codex or Cursor.
- Compression must run locally, with originals cached so the model can retrieve the full text.
When to skip:
- Your agent's problem is missing or outdated docs, not too much context: a docs server fits better.
- You cannot add a component that must keep running and may add latency.
- Your tasks cannot tolerate lossy compression: verify answer quality on your own work first.
CompartmentMemory & Context · ★ 584
Providing long-term memory for AI agents to improve performance over time.
02
Side-by-Side Comparison
Field
headroomCompartmentCategory
Memory & Context
Memory & Context
Stars
★ 77.5k
★ 584
License
Apache-2.0
Apache-2.0
Install Command
pip install "headroom-ai[all]"
pip install compartment && compartment init
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
Context Compression, Token Optimization, AI Agents
Agentic Memory, Offline-first, Encrypted Storage
03
Features
headroom01In-app library for compression (Python/TypeScript)
02Zero-code-change proxy mode
03One-command agent wrapping for various AI agents
04Cross-agent shared memory and auto-deduplication
05Reversible compression (CCR) with original content retrieval
Compartment01Durable and encrypted agentic memory stored locally.
02100% offline operation with no network, API keys, or cloud accounts.
03Fast hybrid semantic and keyword search with sub-20ms latency.
04Pre-seeded knowledge base with 6,718 curated facts available at install.
05Cryptographic deletion and hash-chained audit logs ensure data security and integrity.
04
Use Cases
headroom↳Reduce LLM token usage and API costs for AI agents.
↳Enable shared context and memory across multiple AI agents.
↳Optimize coding agents by compressing tool outputs, logs, and RAG chunks.
↳Maintain full data fidelity with reversible context compression.
Compartment↳Providing long-term memory for AI agents to improve performance over time.
↳Enabling AI agents to operate effectively offline with a rich knowledge base.
↳Securely storing sensitive agentic data, decisions, and preferences locally.
↳Sharing a single, encrypted memory vault across multiple AI agents and projects.
↳Automatically preserving full conversation context before agent summarization or compaction.
05
Best For
headroomMost PopularEssential
Compartment—
FAQ
FAQ
What is the difference between headroom and Compartment?
Both headroom and Compartment are in the Memory & Context category. headroom has 77.5k stars, while Compartment has 584 stars.
Which is better, headroom or Compartment?
The best choice depends on your use case. Choose headroom if Reduce LLM token usage and API costs for AI agents., and Compartment if Providing long-term memory for AI agents to improve performance over time..
Is headroom free or open source?
Yes, headroom is open source on GitHub (Apache-2.0).
Is Compartment free or open source?
Yes, Compartment is open source on GitHub (Apache-2.0).
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